I enjoy standing at the intersection of business (to interact with business stakeholders and senior leadership team), technology, and math ( build optimization/machine learning models). My career passion is to help make product and business operations smarter through innovative and practical analytics.
I have been working in the field of Data Science for around 2 years and have worked in all phases of the Machine Learning project life cycle.
I want to take my passion for the Data Science field to the next level by working with the dynamic people in the industry. I would like to contribute to the society through my knowledge in this domain.
▪ Worked on the Data collection strategy for the e-commerce-based AR mobile application ▪ Formalized the KPIs to help the company grow and scale by working closely with the executive team ▪ Spearheaded the backend integration project for the mobile application on Google Cloud Platform (Firebase) ▪ Developed a REST API using Python (Flask) for the e-commerce mobile application
▪ Trained an object detector using VGG-16 model (Python, OpenCV) for the pilot project of self-checkout stores to detect the fraudulent scans. Also developed a scan activity detection algorithm using pose estimation. ▪ Planned and developed the human activity detection algorithm (Python, OpenCV) using human pose estimation algorithm to understand the customer activity while they are handling the objects in the retail stores. ▪ Involved in the research project related to activity recognition and behavioral analysis for identifying customer activity in the retail stores using computer vision. Communicated the future project plans and presented the findings to the executive stakeholders by evaluating the research papers in the field of behavior analysis (Gait Analysis)
Worked on data collection strategies for the future Machine Learning implementations Performed sentiment analysis on the chat messages using Natural Language Toolkit(NLTK) and Naive Bayes algorithm Performed basic customer segmentation using clustering algorithms to understand the users Worked on building a chatbot using Rasa NLU Designed dashboards using Tableau to solve business problems related to customer acquisition and communicated the results to the executive stakeholders. Improved the chat response on the platform by over 60 % by analyzing customer behavioral patterns Built a Chatbot using Google’s Dialogflow (formerly api.ai) platform for the mobile application
Collaborated with the Marketing team to improve the customer acquisition strategies using design thinking approach Worked as an Agent on the chat based platform to understand the customer behaviour and reported the findings to the executive stakeholders